6 citations · 12 across the 9 of their papers we have counts for
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cs.CL2020
HUMAN: Hierarchical Universal Modular ANnotator
Moritz Wolf, Dana Ruiter, Ashwin Geet D'Sa +3
A lot of real-world phenomena are complex and cannot be captured by single task annotations. This causes a need for subsequent annotations, with interdependent questions and answer…
cs.CL2020
Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation
Dana Ruiter, Josef van Genabith, Cristina España-Bonet
Self-supervised neural machine translation (SSNMT) jointly learns to identify and select suitable training data from comparable (rather than parallel) corpora and to translate, in…